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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Researcher

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Researcher to develop next-generation algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin R&D facility, working on projects that will shape the future of artificial intelligence and quantum computing.

Our team operates at the intersection of theoretical physics and machine learning, creating breakthrough applications in healthcare, climate modeling, and autonomous systems. We offer unparalleled resources including access to quantum processors, GPU clusters, and a $50M annual research budget.

Responsibilities

  • Design and implement quantum algorithms for machine learning applications
  • Lead cross-functional research teams in prototyping AI-quantum hybrid systems
  • Publish findings in top-tier journals and present at international conferences
  • Develop patent-pending solutions for complex computational problems
  • Collaborate with product teams to translate research into commercial applications
  • Mentor junior researchers and contribute to strategic roadmap planning

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Expertise in deep learning architectures and tensor computations
  • Published research in quantum machine learning or quantum algorithms
  • Strong proficiency in Python, C++, and high-performance computing
  • Demonstrated ability to lead complex technical projects
  • Experience with cloud-based quantum computing platforms

Required Skills

Quantum Computing Machine Learning AI Research Python C++ Qiskit Cirq Deep Learning High-Performance Computing

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